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Arizona Layoffs — October 2024

Employers in Arizona submitted 5 WARN Act notices in October 2024, putting at risk an estimated 724 workers — up substantially from September and down 28% versus October 2023. The average filing covered 145 workers, with 0 closures among the notices.

5
Notices Filed
724
Workers Affected
145
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Arizona
IndustryNoticesWorkers
Manufacturing2403
Healthcare2259
Transportation162

The Manufacturing sector emerged as the hardest-hit sector with 403 workers across 2 notices. Separately, Healthcare reported 259 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Maricopa3644
Mohave162
Yuma118

Maricopa bore the heaviest burden, accounting for 89% of all affected workers with 644 workers across 3 notices.

Top cities by layoff notices
CityNoticesWorkers
Chandler1385
Phoenix2259
Kingman162
Yuma118

Layoff Type Analysis

Layoff type classification was not available for filings in Arizona this month.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
IntelChandler385
Steward Health Care SystemPhoenix255
True Value Company, L.L.C -Kingman WarehouseKingman62
Medline IndustriesYuma18
Steward Medical GroupPhoenix4

Topping the list was Intel at its Chandler facility, reporting 385 affected workers. Steward Health Care System followed with 255 workers.

Trend & Outlook

After a dip last month, layoff activity has ticked back up.

These figures highlight a mixed picture for Arizona's labor market, with activity diverging between monthly and annual comparisons. The Manufacturing sector warrants close attention heading into the next period.

This analysis is based on official WARN Act filings reported by Arizona. The Worker Adjustment and Retraining Notification (WARN) Act requires employers with 100+ employees to provide 60-day advance notice of mass layoffs and plant closings. Data is updated daily by WARN Firehose. View all Arizona WARN notices, browse layoffs by state, or download the full dataset.

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